AI Data Readiness Lead — Conversational Analytics

Aumni; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive health care coverage

Retirement plan and equity incentives

Job summary

JPMorganChase is seeking an Applied AI ML Lead - AI Data Readiness to shape data foundations for conversational analytics and agentic data access at scale. You will define semantic/context standards, improve metadata and data quality practices, and translate gaps into roadmaps with measurable business impact.

The role emphasizes prototype delivery, executive updates, and collaboration with data product owners and engineers in a fast-paced, regulated financial environment.

Qualifications

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience.
• Experience designing or operating agentic querying approaches, including semantic and context layers and query agents.
• Proven expertise in metadata management and data catalog ecosystems, including improving discoverability and interpretability.
• Hands-on experience with conversational analytics and natural-language querying systems, including an understanding of common failure modes.

Responsibilities

• Define and implement an enterprise AI data readiness framework that enables reliable agentic consumption of data products.
• Establish standards for semantic and context layers to improve consistency, interpretability, and reuse across analytics experiences.
• Design and deliver metadata, lineage, and data quality practices that improve discoverability and reduce ambiguity in AI-driven analysis.
• Build and iterate proof-of-concept and production-ready prototypes for conversational analytics use cases.
• Improve performance and reliability of natural-language-to-database-query systems by analyzing failures and driving targeted remediation.
• Identify semantic and contextual gaps that prevent accurate AI-driven data access, and partner with owners to close them.
• Partner with data product leaders and engineers to prioritize and execute quality and usability improvements across critical datasets.
• Define scalable AI interface patterns for copilots, agents, and analytics tools to ensure consistent user outcomes.
• Create scorecards, key performance indicators, and maturity models that track progress and drive accountability.
• Deliver regular demonstrations and executive updates that connect technical improvements to business impact.

Skills

Applied AI/ML concepts

Agentic querying approaches

Metadata management

Natural-language querying systems

Prototype across data stack

Executive communication

Cross-functional collaboration

Tools

Databricks Genie

Snowflake Cortex Analyst

Job description

JPMorganChase is seeking an Applied AI ML Lead - AI Data Readiness to shape data foundations for conversational analytics and agentic data access at scale. You will define semantic/context standards, improve metadata and data quality practices, and translate gaps into roadmaps with measurable business impact.

The role emphasizes prototype delivery, executive updates, and collaboration with data product owners and engineers in a fast-paced, regulated financial environment.